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Handling uncertainty in artificial i...

Chaki, Jyotismita.

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Handling uncertainty in artificial intelligence

Record Type:	Electronic resources : Monograph/item
Title/Author:	Handling uncertainty in artificial intelligence/ by Jyotismita Chaki.
Author:	Chaki, Jyotismita.
Published:	Singapore :Springer Nature Singapore : : 2023.,
Description:	xiii, 101 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Introduction to handling uncertainty in artificial intelligence -- Probability and Bayesian Theory to Handle Uncertainty in artificial intelligence -- The Dempster-Shafer Theory to handle uncertainty in artificial intelligence -- Certainty factor and evidential reasoning to handle uncertainty in artificial intelligence -- A fuzzy logic-based approach to handle uncertainty in artificial intelligence -- Decision-making under uncertainty in artificial intelligence -- Applications of different methods to handle uncertainty in artificial intelligence.
Contained By:	Springer Nature eBook
Subject:	Uncertainty (Information theory) -
Online resource:	https://doi.org/10.1007/978-981-99-5333-2
ISBN:	9789819953332

Handling uncertainty in artificial intelligence
Chaki, Jyotismita.

Handling uncertainty in artificial intelligence[electronic resource] /by Jyotismita Chaki. - Singapore :Springer Nature Singapore :2023. - xiii, 101 p. :ill. (some col.), digital ;24 cm. - SpringerBriefs in computational intelligence,2625-3712. - SpringerBriefs in computational intelligence..

Introduction to handling uncertainty in artificial intelligence -- Probability and Bayesian Theory to Handle Uncertainty in artificial intelligence -- The Dempster-Shafer Theory to handle uncertainty in artificial intelligence -- Certainty factor and evidential reasoning to handle uncertainty in artificial intelligence -- A fuzzy logic-based approach to handle uncertainty in artificial intelligence -- Decision-making under uncertainty in artificial intelligence -- Applications of different methods to handle uncertainty in artificial intelligence.

This book demonstrates different methods (as well as real-life examples) of handling uncertainty like probability and Bayesian theory, Dempster-Shafer theory, certainty factor and evidential reasoning, fuzzy logic-based approach, utility theory and expected utility theory. At the end, highlights will be on the use of these methods which can help to make decisions under uncertain situations. This book assists scholars and students who might like to learn about this area as well as others who may have begun without a formal presentation. The book is comprehensive, but it prohibits unnecessary mathematics.

ISBN: 9789819953332

Standard No.: 10.1007/978-981-99-5333-2doiSubjects--Topical Terms:

587701
Uncertainty (Information theory)

LC Class. No.: Q375

Dewey Class. No.: 003.54

Handling uncertainty in artificial intelligence
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245 1 0 $a Handling uncertainty in artificial intelligence $h [electronic resource] / $c by Jyotismita Chaki.
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300 $a xiii, 101 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a SpringerBriefs in computational intelligence, $x 2625-3712
505 0 $a Introduction to handling uncertainty in artificial intelligence -- Probability and Bayesian Theory to Handle Uncertainty in artificial intelligence -- The Dempster-Shafer Theory to handle uncertainty in artificial intelligence -- Certainty factor and evidential reasoning to handle uncertainty in artificial intelligence -- A fuzzy logic-based approach to handle uncertainty in artificial intelligence -- Decision-making under uncertainty in artificial intelligence -- Applications of different methods to handle uncertainty in artificial intelligence.
520 $a This book demonstrates different methods (as well as real-life examples) of handling uncertainty like probability and Bayesian theory, Dempster-Shafer theory, certainty factor and evidential reasoning, fuzzy logic-based approach, utility theory and expected utility theory. At the end, highlights will be on the use of these methods which can help to make decisions under uncertain situations. This book assists scholars and students who might like to learn about this area as well as others who may have begun without a formal presentation. The book is comprehensive, but it prohibits unnecessary mathematics.
650 0 $a Uncertainty (Information theory) $3 587701
650 0 $a Artificial intelligence. $3 516317
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Algorithms. $3 536374
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950 $a Intelligent Technologies and Robotics (SpringerNature-42732)